Tags

Type your tag names separated by a space and hit enter

Comparison of predictive equations for resting metabolic rate in obese psychiatric patients taking olanzapine.
Nutrition. 2009 Feb; 25(2):188-93.N

Abstract

OBJECTIVE

The prediction of resting metabolic rate (RMR) is important to determine the energy expenditure of obese patients with severe mental illnesses (SMIs). However, there is lack of research concerning the most accurate RMR predictive equations. The purpose of this study was to compare the validity of four RMR equations on patients with SMIs taking olanzapine.

METHODS

One hundred twenty-eight obese (body mass index >30 kg/m(2)) patients with SMIs (41 men and 87 women) treated with olanzapine were tested from 2005 to 2008. Measurements of anthropometric parameters (height, weight, body mass index, waist circumference) and body composition (using the BodPod) were performed at the beginning of the study. RMR was measured using indirect calorimetry. Comparisons between measured and estimated RMRs from four equations (Harris-Benedict adjusted and current body weights, Schofield, and Mifflin-St. Jeor) were performed using Pearson's correlation coefficient and Bland-Altman analysis.

RESULTS

Significant correlations were found between the measured and predicted RMRs with all four equations (P < 0.001), with the Mifflin-St. Jeor equation demonstrating the strongest correlation in men and women (r = 0.712, P < 0.001). In men and women, the Bland-Altman analysis revealed no significant bias in the RMR prediction using the Harris-Benedict adjusted body weight and the Mifflin equations (P > 0.05). However, in men and women, the Harris-Benedict current body weight and the Schofield equations showed significant overestimation error in the RMR prediction (P < 0.001).

CONCLUSION

When estimating RMR in men and women with SMIs taking olanzapine, the Mifflin-St. Jeor and Harris-Benedict adjusted body weight equations appear to be the most appropriate for clinical use.

Authors+Show Affiliations

Harokopio University, Athens, Greece. diatrofi@hygeia.grNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Comparative Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

18947974

Citation

Skouroliakou, Maria, et al. "Comparison of Predictive Equations for Resting Metabolic Rate in Obese Psychiatric Patients Taking Olanzapine." Nutrition (Burbank, Los Angeles County, Calif.), vol. 25, no. 2, 2009, pp. 188-93.
Skouroliakou M, Giannopoulou I, Kostara C, et al. Comparison of predictive equations for resting metabolic rate in obese psychiatric patients taking olanzapine. Nutrition. 2009;25(2):188-93.
Skouroliakou, M., Giannopoulou, I., Kostara, C., & Vasilopoulou, M. (2009). Comparison of predictive equations for resting metabolic rate in obese psychiatric patients taking olanzapine. Nutrition (Burbank, Los Angeles County, Calif.), 25(2), 188-93. https://doi.org/10.1016/j.nut.2008.08.006
Skouroliakou M, et al. Comparison of Predictive Equations for Resting Metabolic Rate in Obese Psychiatric Patients Taking Olanzapine. Nutrition. 2009;25(2):188-93. PubMed PMID: 18947974.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Comparison of predictive equations for resting metabolic rate in obese psychiatric patients taking olanzapine. AU - Skouroliakou,Maria, AU - Giannopoulou,Ifigenia, AU - Kostara,Christina, AU - Vasilopoulou,Melanie, Y1 - 2008/10/23/ PY - 2008/05/02/received PY - 2008/08/08/revised PY - 2008/08/12/accepted PY - 2008/10/25/pubmed PY - 2009/4/17/medline PY - 2008/10/25/entrez SP - 188 EP - 93 JF - Nutrition (Burbank, Los Angeles County, Calif.) JO - Nutrition VL - 25 IS - 2 N2 - OBJECTIVE: The prediction of resting metabolic rate (RMR) is important to determine the energy expenditure of obese patients with severe mental illnesses (SMIs). However, there is lack of research concerning the most accurate RMR predictive equations. The purpose of this study was to compare the validity of four RMR equations on patients with SMIs taking olanzapine. METHODS: One hundred twenty-eight obese (body mass index >30 kg/m(2)) patients with SMIs (41 men and 87 women) treated with olanzapine were tested from 2005 to 2008. Measurements of anthropometric parameters (height, weight, body mass index, waist circumference) and body composition (using the BodPod) were performed at the beginning of the study. RMR was measured using indirect calorimetry. Comparisons between measured and estimated RMRs from four equations (Harris-Benedict adjusted and current body weights, Schofield, and Mifflin-St. Jeor) were performed using Pearson's correlation coefficient and Bland-Altman analysis. RESULTS: Significant correlations were found between the measured and predicted RMRs with all four equations (P < 0.001), with the Mifflin-St. Jeor equation demonstrating the strongest correlation in men and women (r = 0.712, P < 0.001). In men and women, the Bland-Altman analysis revealed no significant bias in the RMR prediction using the Harris-Benedict adjusted body weight and the Mifflin equations (P > 0.05). However, in men and women, the Harris-Benedict current body weight and the Schofield equations showed significant overestimation error in the RMR prediction (P < 0.001). CONCLUSION: When estimating RMR in men and women with SMIs taking olanzapine, the Mifflin-St. Jeor and Harris-Benedict adjusted body weight equations appear to be the most appropriate for clinical use. SN - 0899-9007 UR - https://www.unboundmedicine.com/medline/citation/18947974/Comparison_of_predictive_equations_for_resting_metabolic_rate_in_obese_psychiatric_patients_taking_olanzapine_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0899-9007(08)00382-1 DB - PRIME DP - Unbound Medicine ER -